MCP Server ¶

An MCP (Multi-Cloud Platform) server that provides a library of reusable agent instructions and scripts to a generative AI model.

Warning

This project is in a development stage. Features and configurations are subject to change.

This documentation provides a comprehensive guide to the MCP Server. Use the navigation on the left to explore different sections.

TL;DR¶

To bootstrap the project

task bootstrap

To run the server locally:

task run

Add to gemini-cli settings:

{
  "mcpServers": {
    "sharedAgents": {
      "httpUrl": "http://<ip-address>:8080"
    }
  }
}

Overview¶

This server uses FastAPI to expose a set of tools that can be consumed by a compatible AI model (like Google's Gemini). The primary purpose is to provide the AI with a library of standardized instructions (AGENTS.md files) and utility scripts (.sh files). This allows the AI to perform complex, context-aware tasks consistently by drawing from a central, version-controlled library.

The core components are: - app/server.py: The FastAPI application that serves the tools. - agents-library/: The central repository for agent instructions and scripts.

License¶

Apache License 2.0

Author¶

This project was started in 2025 by Nicholas Wilde.